AI Automation engineer/Data Analyst

Key Responsibilities

• Data Analysis & Actionable Insights
• Tool Development & Continuous Improvement

Required Qualifications

• Process Automation & Workflow Engineering
• Docket Reduction Strategy: Develop and implement automation strategies to streamline case management for over 7 million non-detained cases.
• Automated Case Review: Design workflows that automatically identify cases nearing the end of the immigration lifecycle and flag them for expedited review, replacing manual file dredging with algorithmic targeting.
• System Integration: Support the automation of updates to federal systems (EARM), ensuring that critical data points—like criminality changes or final order status—are updated within strict 5-to-10-day operational windows.
• Predictive Modeling: Create data models to identify high-priority cases based on risk factors, criminality, and public safety threats.
• Operational Reporting: Generate actionable insights and ad-hoc analysis for ICE Headquarters, converting raw call center metrics into strategic intelligence.
• Visualization: Design executive-level dashboards using Tableau, Power Pivot, and Excel to visualize trends, patterns, and linkages in criminal alien data.
• Bot & Script Deployment: Customize automation tools to streamline data collection and reporting, monitoring their reliability to ensure productivity, accuracy, and timeliness.
• Civil Fines & Bonds: Architect the data logic required to generate minimum daily quotas (500+) of actionable civil fine packets and track immigration bond lifecycles.

Preferred Qualifications

• Citizenship: Must be a United States Citizen.
• Experience: 3-5+ years of experience in data analytics, process automation, or business intelligence.
• Technical Stack: Advanced proficiency in Microsoft SQL, Excel (VBA/Macros), Access, and visualization tools like Tableau or Power BI.
• Analytical Mindset: Proven ability to formulate and define system scope and translate complex business needs into technical system specifications.
• Communication: Ability to present complex data clearly to non-technical law enforcement leadership.
• Experience: Experience with ServiceNow or similar low-code/no-code workflow platforms.
• Familiarity: Familiarity with federal datasets (e.g., NCIC, EARM, ACRIMe) or similar law enforcement case management systems.
• Experience: Experience with Robotic Process Automation (RPA) concepts or implementation.

Pay

TBD

Schedule

N/A

Benefits

N/A